Security Scan Report: mta-sts.lists.canterbury.ac.nz

Submitted: Jun 23, 2026, 9:39:21 AMCompleted: Jun 23, 2026, 9:41:04 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is mta-sts.lists.canterbury.ac.nz.

Submitted URL: https://mta-sts.lists.canterbury.ac.nz

The Cisco Umbrella rank of the primary domain is #133,430 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site shows no malicious activity, forms, or IoCs; low risk despite low ranking and unknown age.

Risk Factors
Low Cisco Umbrella ranking (133,430)
Domain age unknown (neutral but adds uncertainty)
Safety Factors
No forms or data collection elements
No malicious signatures or IDS alerts
Static content with no external links
Domain age information unavailable

Details

Page Title

MTA-STS

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'mta-sts.lists.canterbury.ac.nz' uses the New Zealand country-code top-level domain (.ac.nz) and includes subdomain 'mta-sts.lists'. Count 10 characters in 'canterbury' holding three vowels versus 7 consonants. Segmentation suggests one word: canterbury. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mta-sts.lists.canterbury.ac.nz

Page Load Overview

0.32s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:36 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
220.101.2.157Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
21--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DAC08CAAA859240A98F076D01AD1B6D41A890AA038830A107A80349478AA212DA86340

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:PouVWJhquHbs0sJY2JAMxkF2Z3XbZ6iMsU2F+gaFd3F4:h4hqIY0gY20F+3X96Di+5Fd+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:7c84ebce5d6ed5d01e168b314236a6a4

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:3fffffffffffffff
Perceptual Hash:870f0f0f0f0f0f0f
Difference Hash:6000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#2dc7d2

Other Hashes

Crop Resistant:6000000000000000

Scan History

Scan history not available

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